You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than CyberArk Conjur. While we know about 373 links to Amazon AWS, we've tracked only 2 mentions of CyberArk Conjur. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
CyberArk (Conjur team) | Mid-Snr Infrastructure Engineer | REMOTE OR NEWTON, MA | FULL-TIME The Conjur infrastructure team provides support and internal tooling to the product engineers working on Conjur and Conjur Enterprise as well as a suite of associated products and integrations. Our job is to make sure engineering has the tools and facilities available to do their jobs with minimal infra-related effort on... - Source: Hacker News / about 3 years ago
Conjur.org Conjur OSS Helm Chart Kubernetes Conjur Demo My GitHub repo with all the resources used in the post. - Source: dev.to / about 3 years ago
When I first started using AWS, I'd often end up spending a lot more as compared to what my expectation, but since the projects were small and the small differences in run-time did not affect the business function that much I used to overlook it. It was only when we started the first major project that we learnt about polling in AWS Lambda and it has been a lifesaver. On a recently completed project, we are... - Source: dev.to / about 10 hours ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / 2 days ago
Salesforce is a powerful customer relationship management (CRM) platform that helps organizations manage their sales, marketing, and customer service processes. However, to unlock its full potential, integrating Salesforce with other powerful platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure can provide additional functionalities, streamline processes, and enhance data... - Source: dev.to / 3 days ago
Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 17 days ago
First navigate to AWS at - https://aws.amazon.com create an account and then on the dashboard search for Amazon SES, click get started and then you should be directed to a dashboard like this. - Source: dev.to / 18 days ago
Qualys - Qualys helps your business automate the full spectrum of auditing, compliance and protection of your IT systems and web applications.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Trend Micro Deep Security - Excellent hybrid cloud security doesn't require your business to sacrifice operational performance. Trend Micro lets you keep business moving securely.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!